CoNLL 2010

52 papers

Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier

Yi Zheng, Qifeng Dai, Qiming Luo, Enhong Chen

A Baseline Approach for Detecting Sentences Containing Uncertainty

Erik Tjong Kim Sang

A Simple Ensemble Method for Hedge Identification

Ferenc Szidarovszky, Illés Solt, Domonkos Tikk

Features for Detecting Hedge Cues

Nobuyuki Shimizu, Hiroshi Nakagawa

Uncertainty Learning Using SVMs and CRFs

Vinodkumar Prabhakaran

Exploiting CCG Structures with Tree Kernels for Speculation Detection

Liliana Mamani Sánchez, Baoli Li, Carl Vogel

HedgeHunter: A System for Hedge Detection and Uncertainty Classification

David Clausen

A Lucene and Maximum Entropy Model Based Hedge Detection System

Lin Chen, Barbara Di Eugenio

Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts

HuiWei Zhou, Xiaoyan Li, Degen Huang, Zezhong Li, Yuansheng Yang

Learning to Detect Hedges and their Scope Using CRF

Qi Zhao, Chengjie Sun, Bingquan Liu, Yong Cheng

Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection

Shaodian Zhang, Hai Zhao, Guodong Zhou, Bao-Liang Lu

Uncertainty Detection as Approximate Max-Margin Sequence Labelling

Oscar Täckström, Sumithra Velupillai, Martin Hassel, Gunnar Eriksson, Hercules Dalianis

Exploiting Rich Features for Detecting Hedges and their Scope

Xinxin Li, Jianping Shen, Xiang Gao, Xuan Wang

A High-Precision Approach to Detecting Hedges and their Scopes

Halil Kilicoglu, Sabine Bergler

Hedge Detection Using the RelHunter Approach

Eraldo Fernandes, Carlos Crestana, Ruy Milidiú

Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection

Marek Rei, Ted Briscoe

Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules

Erik Velldal, Lilja Øvrelid, Stephan Oepen

Memory-Based Resolution of In-Sentence Scopes of Hedge Cues

Roser Morante, Vincent Van Asch, Walter Daelemans

Detecting Hedge Cues and their Scopes with Average Perceptron

Feng Ji, Xipeng Qiu, Xuanjing Huang

A Hedgehop over a Max-Margin Framework Using Hedge Cues

Maria Georgescul

Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression

Andreas Vlachos, Mark Craven

A Cascade Method for Detecting Hedges and their Scope in Natural Language Text

Buzhou Tang, Xiaolong Wang, Xuan Wang, Bo Yuan, Shixi Fan

The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text

Richárd Farkas, Veronika Vincze, György Móra, János Csirik, György Szarvas

Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task

Richárd Farkas, Veronika Vincze, György Szarvas, György Móra, János Csirik

Inspecting the Structural Biases of Dependency Parsing Algorithms

Yoav Goldberg, Michael Elhadad

On Reverse Feature Engineering of Syntactic Tree Kernels

Daniele Pighin, Alessandro Moschitti

Distributed Asynchronous Online Learning for Natural Language Processing

Kevin Gimpel, Dipanjan Das, Noah A. Smith

Joint Entity and Relation Extraction Using Card-Pyramid Parsing

Rohit J. Kate, Raymond Mooney

Tagging and Linking Web Forum Posts

Su Nam Kim, Li Wang, Timothy Baldwin

Online Entropy-Based Model of Lexical Category Acquisition

Grzegorz Chrupała, Afra Alishahi

Improved Natural Language Learning via Variance-Regularization Support Vector Machines

Shane Bergsma, Dekang Lin, Dale Schuurmans

Cross-Caption Coreference Resolution for Automatic Image Understanding

Micah Hodosh, Peter Young, Cyrus Rashtchian, Julia Hockenmaier

A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification

Jorge Carrillo de Albornoz, Laura Plaza, Pablo Gervás

A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection

Chenghua Lin, Yulan He, Richard Everson

Improving Word Alignment by Semi-Supervised Ensemble

Shujian Huang, Kangxi Li, Xinyu Dai, Jiajun Chen

A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation

Sankaranarayanan Ananthakrishnan, Rohit Prasad, David Stallard, Prem Natarajan

Learning Probabilistic Synchronous CFGs for Phrase-Based Translation

Markos Mylonakis, Khalil Sima’an

Semi-Supervised Recognition of Sarcasm in Twitter and Amazon

Dmitry Davidov, Oren Tsur, Ari Rappoport

Computing Optimal Alignments for the IBM-3 Translation Model

Thomas Schoenemann

Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources

Constantine Lignos, Charles Yang

Type Level Clustering Evaluation: New Measures and a POS Induction Case Study

Roi Reichart, Omri Abend, Ari Rappoport

Syntactic and Semantic Structure for Opinion Expression Detection

Richard Johansson, Alessandro Moschitti

Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint

Roi Reichart, Raanan Fattal, Ari Rappoport

(Invited Talk) Bayesian Hidden Markov Models and Extensions

Zoubin Ghahramani

(Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information

Lillian Lee

Learning Better Monolingual Models with Unannotated Bilingual Text

David Burkett, Slav Petrov, John Blitzer, Dan Klein

Identifying Patterns for Unsupervised Grammar Induction

Jesús Santamaría, Lourdes Araujo

Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages

Alexander Clark

Driving Semantic Parsing from the World’s Response

James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth

Viterbi Training Improves Unsupervised Dependency Parsing

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky, Christopher D. Manning

Improvements in Unsupervised Co-Occurrence Based Parsing

Christian Hänig

Proceedings of the Fourteenth Conference on Computational Natural Language Learning

Mirella Lapata, Anoop Sarkar